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to field research. Experience with machine learning (ML) approaches to analyzing data. experience in student leadership or mentorship roles. Experience supporting the design and implementation of field
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, machine learning or AI to computational modeling, simulations, and advanced data analytics for scientific discovery in materials science, biology, astronomy, environmental science, energy, particle physics
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. Knowledge of performance improvement and evidence-based practice. Basic computer skills. Ability to assess, plan, implement and evaluate patient care, taking into consideration protective interventions
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thermodynamics Design and implement machine learning models for data collection, reduction, analysis, and visualization. Work creatively, independently, and productively. Work as a member of a multidisciplinary
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documentation. Present research findings via oral presentations at scientific meetings, conferences, and research publications. What is Required: PhD degree in the Physical Sciences, Material Science, or related
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Cyclotron Road, Berkeley, CA. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites. Want to learn more about working at Berkeley Lab? Please visit:careers.lbl.gov
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to access Berkeley Lab sites (for more informationclick here ). Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov Equal Employment Opportunity Employer: The foundation
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your best self to work, as well as to help you and your family achieve your health, wellness, financial and career goals. Learn more about the benefits below and eligibility rules by visiting either our
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. Learn more about the benefits below and eligibility rules by visiting either our handy Benefits Summary for UC Davis Health Employees or Benefits Summary for UC Davis Employees and our Benefits Page